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Record Nr. |
UNINA9910458845103321 |
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Autore |
Neapolitan Richard E |
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Titolo |
Probabilistic methods for financial and marketing informatics [[electronic resource] /] / Richard E. Neapolitan, Xia Jiang |
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Pubbl/distr/stampa |
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San Fransisco, CA, : Morgan Kaufmann Publishers, c2007 |
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ISBN |
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1-281-31147-2 |
9786611311476 |
0-08-055567-5 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (427 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Finance - Statistical methods |
Bayesian statistical decision theory - Data processing |
Marketing - Statistical methods |
Information technology |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 397-408) and index. |
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Nota di contenuto |
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Front Cover; Probabilistic Methods for Financial and Marketing Informatics; Copyright Page; Preface; Contents; Part I: Bayesian Networks and Decision Analysis; Chapter 1. Probabilistic Informatics; 1.1 What Is Informatics?; 1.2 Probabilistic Informatics; 1.3 Outline of This Book; Chapter 2. Probability and Statistics; 2.1 Probability Basics; 2.2 Random Variables; 2.3 The Meaning of Probability; 2.4 Random Variables in Applications; 2.5 Statistical Concepts; Chapter 3. Bayesian Networks; 3.1 What Is a Bayesian Network?; 3.2 Properties of Bayesian Networks |
3.3 Causal Networks as Bayesian Networks 3.4 Inference in Bayesian Networks; 3.5 How Do We Obtain the Probabilities?; 3.6 Entailed Conditional Independencies *; Chapter 4. Learning Bayesian Networks; 4.1 Parameter Learning; 4.2 Learning Structure (Model Selection); 4.3 Score-Based Structure Learning *; 4.4 Constraint-Based Structure Learning; 4.5 Causal Learning; 4.6 Software Packages for Learning; 4.7 Examples of Learning; Chapter 5. Decision Analysis Fundamentals; 5.1 Decision Trees; 5.2 Influence Diagrams; 5.3 Dynamic Networks *; |
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Chapter 6. Further Techniques in Decision Analysis |
6.1 Modeling Risk Preferences 6.2 Analyzing Risk Directly; 6.3 Dominance; 6.4 Sensitivity Analysis; 6.5 Value of Information; 6.6 Normative Decision Analysis; Part II: Financial Applications; Chapter 7. Investment Science; 7.1 Basics of Investment Science; 7.2 Advanced Topics in Investment Science*; 7.3 A Bayesian Network Portfolio Risk Analyzer *; Chapter 8. Modeling Real Options; 8.1 Solving Real Options Decision Problems; 8.2 Making a Plan; 8.3 Sensitivity Analysis; Chapter 9. Venture Capital Decision Making; 9.1 A Simple VC Decision Model; 9.2 A Detailed VC Decision Model |
9.3 Modeling Real Decisions 9.A Appendix; Chapter 10. Bankruptcy Prediction; 10.1 A Bayesian Network for Predicting Bankruptcy; 10.2 Experiments; Part III: Marketing Applications; Chapter 11. Collaborative Filtering; 11.1 Memory-Based Methods; 11.2 Model-Based Methods; 11.3 Experiments; Chapter 12. Targeted Advertising; 12.1 Class Probability Trees; 12.2 Application to Targeted Advertising; Bibliography; Index |
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Sommario/riassunto |
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Bayesian Networks are a form of probabilistic graphical models and they are used for modeling knowledge in many application areas, from medicine to image processing. They are particularly useful for business applications, ans* Unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. * Shares insights about when and why probabilistic methods can and cannot be used effectively; * Complete review of Bayesian networks and probabilistic methods for those IT professionals new to informati |
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2. |
Record Nr. |
UNISA996394187303316 |
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Autore |
A. M |
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Titolo |
A rich closet of physical secrets collected by the elaborate pains of four several students in physick, and digested together [[electronic resource] ] : viz. The child-bearers cabinet. A preservative against the plague and smal pox. Physical experiments presented to our late Queen Elizabeths own hands. With certain approved medicines, taken out of a manuscript, found at the dissolution of one of our English abbies, and supplied with some of his own experiments, by a late English doctor |
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Pubbl/distr/stampa |
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London, : printed by Gartrude Dawson, and are to be sold by John Saywell at his shop at the sign of the Greyhound in little Britain without Aldersgate, 1653 |
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Descrizione fisica |
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Soggetti |
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Medicine - Formulae, receipts, prescriptions |
Plague - Prevention |
Smallpox - England |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"To the reader." signed: A.M. |
Reproduction of original in the Folger Shakespeare Library. |
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Sommario/riassunto |
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